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casadi/casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

optimizationnonlinearderivativescode-generationnumerical-calculationsacademic-projectscientific-computingmathematicssymbolic-manipulationparameter-estimationoptimal-controlmodular

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GitHub all releases PyPI - Downloads

Learn all about CasADi at the homepage or jump to install instructions...

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